Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 7
Python @ 4
SQL @ 4
R @ 4
Data Science @ 4
Scoping @ 4
CCPA @ 4
GDPR @ 4
API @ 4
Reporting @ 4
LLM @ 4
Compliance @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
About Glean:
Glean is the Work AI platform that helps everyone work smarter with AI. What began as advanced enterprise search has evolved into a full-scale Work AI ecosystem powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. Glean integrates with 100+ enterprise SaaS connectors, supports flexible LLM choice, and provides robust APIs to govern, scale, and customize AI across organizations. The company emphasizes enterprise trust, agentic capabilities, and measurable business impact (faster onboarding, productivity gains, improved decision-making).
About the role
This Senior User Researcher will focus on the Enterprise & Platform area, dedicated to admin personas (IT leaders, setup admins, and citizen developers) who deploy, configure, govern, and expand Glean within organizations. The role aims to remove deployment friction, improve sandbox/trial experiences, and shape agent governance and ROI measurement. You will work closely with product, design, engineering, data science, and GTM teams to integrate research into roadmaps and drive impact from insights.
Responsibilities
- Own high-impact research for the Enterprise & Platform area, focusing on admin, IT, and builder experiences.
- Conduct mixed-methods research across the product lifecycle (foundational, generative, evaluative, and post-launch).
- Shape product areas including admin onboarding, platform setup, governance and permissions, billing and consumption visibility, and ROI reporting.
- Generate actionable insights to improve deployment, rollout confidence, adoption, and long-term customer value.
- Partner with Product, Design, Engineering, Data Science, and cross-functional stakeholders to influence roadmap and execution.
- Mentor and enable others to run high-quality evaluative research when appropriate.
- Use AI tools thoughtfully across the research workflow while maintaining rigor and sound judgment.
Requirements / About you
- 5–7+ years of User Experience Research (UXR) experience with a proven track record of shaping B2B or enterprise product strategy.
- Deep expertise researching IT, admin, and builder personas, specifically around deployment, governance, and configuration in complex software environments.
- Strong systems thinking and ability to navigate multi-stakeholder ecosystems (buyers, admins, end-users, security).
- Ability to connect research on ROI, time-to-value, and adoption directly to shipped product decisions alongside PM, Design, and Engineering.
- Mastery of qualitative methods (contextual inquiry, journey mapping, JTBD) and strong quantitative research skills (survey design, statistical literacy, and triangulation with behavioral product data).
- Self-directed and comfortable scoping, recruiting, and driving research independently in fast-paced, ambiguous environments.
Nice-to-haves:
- Working knowledge of SQL or a scripting language such as Python or R for exploratory analysis.
- Experience with enterprise security, compliance, or governance research, including developer tools, APIs, platform products, or technical setup workflows.
- Familiarity with enterprise APIs, MCP, connectors, or integration architecture.
- Background in productivity tools, collaboration software, or knowledge management.
- Applied AI proficiency: hands-on experience using AI tools across the research lifecycle, with strong judgment about rigor, bias, and reliability.
Location & Work Model
- This role is hybrid: 4 days a week in the San Francisco office.
Compensation & Benefits
- Base salary range: $185,000 - $210,000 annually. Compensation will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
- Benefits include Medical, Vision, and Dental coverage, generous time-off policy, 401(k) contribution opportunity, a home office improvement stipend, annual education and wellness stipends, regular company events, and daily healthy lunches.
AI-First Mindset
Glean emphasizes AI fluency. As part of the interview process, candidates will complete a brief AI-focused exercise or discussion to demonstrate how they think about, design, and use AI to drive impact in the role.
Global Data Privacy Notice
Depending on location, applicant data is processed in accordance with GDPR, CCPA, or other applicable privacy laws. US applicants are subject to arbitration of disputes as outlined in the Applicant Arbitration Agreement. By submitting an application, candidates agree to the privacy and arbitration terms provided by Glean.